Why Conversational AI Projects Fail – Part II
![Why AI Fails part 2](https://smartaction.ai/wp-content/uploads/2022/02/Why-AI-Fails-part-2.jpg)
According to Gartner, 85% of AI projects fail – many never reach deployment, while others are abandoned after failing to meet expectations. The truth is, there are a lot of sub-par voice and chat experiences in the marketplace. A quarter of our clients come to us after attempting to automate voice interactions on their own, or after a third-party does the build and then tosses them the keys.
In the second half of our two-part series, we continue our discussion on conversational AI failures – why, when, and where they happen. We’ll share best practices for setting up AI projects for success.
Missed part I of the webinar? Watch it now on-demand, here.
Key takeaways:
- What could go wrong with AI? (hint – a lot)
- The importance of training, tracking, and fine-tuning AI
- Just because anyone can build a bot doesn’t mean they should
- How to plan conversational AI for success
Watch This
Webinar
![gated_webinar_speaker_brian](https://smartaction.ai/wp-content/uploads/2021/03/gated_webinar_speaker_brian.png)
Brian Morin
Chief Marketing Officer,
SmartAction
![gated_webinar_speaker_helena](https://smartaction.ai/wp-content/uploads/2021/03/gated_webinar_speaker_helena.png)
Helena Chen
Director of Product Marketing,
SmartAction
![Phil](https://smartaction.ai/wp-content/uploads/2021/04/Phil.png)
Phillip Fisher
Senior Director of Sales,
SmartAction
Why Conversational AI Projects Fail – Part II
On-Demand Webinar
According to Gartner, 85% of AI projects fail – many never reach deployment, while others are abandoned after failing to meet expectations. The truth is, there are a lot of sub-par voice and chat experiences in the marketplace. A quarter of our clients come to us after attempting to automate voice interactions on their own, or after a third-party does the build and then tosses them the keys.
In the second half of our two-part series, we continue our discussion on conversational AI failures – why, when, and where they happen. We’ll share best practices for setting up AI projects for success.
Missed part I of the webinar? Watch it now on-demand, here.
Key takeaways:
- What could go wrong with AI? (hint – a lot)
- The importance of training, tracking, and fine-tuning AI
- Just because anyone can build a bot doesn’t mean they should
- How to plan conversational AI for success